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There are two popular parallel I/O programming styles used by modern scientific computational applications: unique-file and shared-file. Unique-file I/O usually gives satisfactory performance, but its major drawback is that managing a large number of files can overwhelm the task of post-simulation data processing. Shared-file I/O produces fewer files and allows arrays partitioned among processes to...
We present an Adaptive Mesh Refinement benchmark for evaluating programmability and performance of modern parallel programming languages. Benchmarks employed today by language developing teams, originally designed for performance evaluation of computer architectures, do not fully capture the complexity of state-of-the-art computational software systems running on today's parallel machines or to be...
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